Homologous chromosomes make contact at the sites of double-strand breaks in genes in somatic G0/G1-phase human cells.

Double-strand DNA breaks (DSBs) are continuously induced in cells by endogenously generated free radicals and exogenous genotoxic agents such as ionizing radiation. DSBs activate the kinase activity in sensor proteins such as ATM and DNA-PK, initiating a complex DNA damage response that coordinates various DNA repair pathways to restore genomic integrity. In this study, we report the unexpected finding that homologous chromosomes contact each other at the sites of DSBs induced by either radiation or the endonuclease I-PpoI in human somatic cells. Contact involves short segments of homologous chromosomes and is centered on a DSB in active genes but does not occur at I-PpoI sites in intergenic DNA. I-PpoI-induced contact between homologous genes is abrogated by the transcriptional inhibitors actinomycin D and α-amanitin and requires the kinase activity of ATM but not DNA-PK. Our findings provide documentation of a common transcription-related and ATM kinase-dependent mechanism that induces contact between allelic regions of homologous chromosomes at sites of DSBs in human somatic cells.

Uterine leiomyomata and decreased height: a common HMGA2 predisposition allele.

Uterine leiomyomata (UL) are the most common female pelvic tumors and the primary indication for hysterectomy in the United States. We assessed genetic liability for UL by a known embryonic proliferation modulator, HMGA2, in 248 families ascertained through medical record-confirmed affected sister-pairs. Using a (TC)( n ) repeat in the 5' UTR and 17 SNPs spanning HMGA2, permutation-based association tests identified a significant increase in transmission of a single TC repeat allele (TC227) with UL (allele-specific P = 0.00005, multiple testing corrected min-P = 0.0049). The hypothesis that TC227 is a pathogenic variant is supported by a trend towards higher HMGA2 expression in TC227 allele-positive compared with non-TC227 UL tissue as well as by absence of culpable exonic sequence variants. HMGA2 has also been suggested recently by three genome-wide SNP studies to influence human height variation, and our examination of the affected sister-pair families revealed a significant association of TC227 with decreased height (allele-specific P = 0.00033, multiple testing corrected min-P = 0.016). Diminished stature and elevated risk of UL development have both been correlated with an earlier age of menarche, which may be the biological mechanism for TC227 effects as a tendency of women with TC227 to have an earlier onset of menarche was identified in our study population. These results indicate HMGA2 has a role in two growth-related phenotypes, UL predisposition and height, of which the former may affect future medical management decisions for many women.

Association of distinct variants in SORL1 with cerebrovascular and neurodegenerative changes related to Alzheimer disease.

BACKGROUND: Single-nucleotide polymorphisms (SNPs) in 2 distinct regions of the gene for the sortilin-related receptor (SORL1) (bounded by consecutively numbered SNPs 8-10 and 22-25) were shown to be associated with Alzheimer disease (AD) in multiple ethnically diverse samples. OBJECTIVE: To test the hypothesis that SORL1 is associated with brain magnetic resonance imaging (MRI) measurements of atrophy and/or vascular disease. DESIGN, SETTING, AND PATIENTS: We evaluated the association of 30 SNPs spanning SORL1 with MRI measures of general cerebral atrophy, hippocampal atrophy, white matter hyperintensities, and overall cerebrovascular disease in 44 African American and 182 white sibships from the MIRAGE Study. We performed single- and 3-SNP haplotype association analyses using family-based tests. Haplotypes found to be significantly associated with at least 1 MRI trait were tested for association with 6 pathological traits in a separate sample of 69 white patients with autopsy-confirmed AD. RESULTS: In white patients, white matter hyperintensities were associated with multiple markers in the region encompassing SNPs 6 to 10, whereas cerebral and hippocampal atrophy were associated with markers from the region including SNPs 21 to 26. Examination of specific 3-SNP haplotypes from these 2 regions in the autopsy-confirmed cases of AD revealed association of white matter disease with SNPs 8 to 10 and association of hippocampal atrophy with SNPs 22 to 26. The haplotype CGC at SNPs 8 to 10 was associated with fewer white matter changes in the clinical (P<.001) and autopsy (P=.02) samples. CONCLUSIONS: Variants of SORL1 previously associated with AD are also associated with MRI and neuropathological measures of neurodegenerative and cerebrovascular disease. These findings not only support the hypothesis that multiple areas in SORL1 are of functional importance but also raise the possibility that multiple SORL1 variants influence amyloid precursor protein or endothelial lipoprotein processing or both in different regions of the brain.

Recent advances in human quantitative-trait-locus mapping: comparison of methods for discordant sibling pairs.

Extreme discordant sibling pairs (EDSPs) are theoretically powerful for the mapping of quantitative-trait loci (QTLs) in humans. EDSPs have not been used much in practice, however, because of the need to screen very large populations to find enough pairs that are extreme and discordant. Given appropriate statistical methods, another alternative is to use moderately discordant sibling pairs (MDSPs)--pairs that are discordant but not at the far extremes of the distribution. Such pairs can be powerful yet far easier to collect than extreme discordant pairs. Recent work on statistical methods for QTL mapping in humans has included a number of methods that, though not developed specifically for discordant pairs, may well be powerful for MDSPs and possibly even EDSPs. In the present article, we survey the new statistics and discuss their applicability to discordant pairs. We then use simulation to study the type I error and the power of various statistics for EDSPs and for MDSPs. We conclude that the best statistic(s) for discordant pairs (moderate or extreme) is (are) to be found among the new statistics. We suggest that the new statistics are appropriate for many other designs as well-and that, in fact, they open the way for the exploration of entirely novel designs.

Recent advances in human quantitative-trait-locus mapping: comparison of methods for selected sibling pairs.

During the past few years, there has been a great deal of new work on methods for mapping quantitative-trait loci by use of sibling pairs and sibships. There are several new methods based on linear regression, as well as several more that are based on score statistics. In theory, most of the new methods should be relatively robust to violations of distributional assumptions and to selected sampling, but, in practice, there has been little evaluation of how the methods perform on selected samples. We survey most of the new regression-based statistics and score statistics and propose a few minor variations on the score statistics. We use simulation to evaluate the type I error and the power of all of the statistics, considering (a) population samples of sibling pairs and (b) sibling pairs ascertained on the basis of at least one sibling with a trait value in the top 10% of the distribution. Most of the statistics have correct type I error for selected samples. The statistics proposed by Xu et al. and by Sham and Purcell are generally the most powerful, along with one of our score statistic variants. Even among the methods that are most powerful for "nice" data, some are more robust than others to non-Gaussian trait models and/or misspecified trait parameters.